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A permanent improvement in ambient air quality in the Urban Area of Katowice over recent years could have resulted in a decreased risk of air pollution-related daily mortality. Our study investigates the risk associated with the levels of PM₁₀ and SO₂, obtained seven years apart (time-series analyses in 1994-95 and 2001- 02). For both periods the acute mortality risk depends more on SO₂ than on PM₁₀ levels. The permanent improvement in ambient air pollution was associated with a decrease in relative risk of mortality, only for SO₂ levels. For example, the magnitude of the total mortality relative risk related to a 10 μg/m³ increase in pollutant’s concentration (a 3-day moving average) was for SO₂ 1.019 (1.015-1.023) in 1994-95 and 1.012 (1.005- 1.019) in 2001-02, and for PM₁₀ 1.007 (1.004-1.011) in 1994-95 and 1.007 (1.003-1.011) in 2001-02.
In large irrigation projects, observing and evaluating groundwater depth (GWD) for crop production is crucial. To accomplish these goals, GWDs are measured over certain time intervals, especially during irrigation season, when depth and level maps are prepared and analyses on the target are made. These maps are used for a multi-year observation of GWD. In this study, we present an alternative method that can be used for multi-year lowest GWD evaluations. The method evaluated the spatial and temporal relationships among the classes of GWD in the study area, in their typical locations (areas where the GWD classes are most frequently located), and the alternative GWD classes in those locations in any of the years of the analyzed time-series. As a case study, the method was applied to data of the multi-year (1990–2000) GWD observations in the Mustafakemalpasa (MK P) irrigation project (19.370 ha), which is located in the Marmara Region (northwest Turkey). The most widespread typical GWD class for the analyzed time period was identified as GWD-III (between 101–200 cm), which covered 98.18% of the total area.
The impact of air pollution on human health is subject to extensive research. Most evidence concerns the effect of exposure to airborne PM10 and PM2.5 on daily mortality and hospital admissions. However; less is known about the effects of SO2. Our study (time-series analysis) investigates the effects of 24-hour concentrations of PM10, SO2 and NOX on daily mortality over 2001-2002 in 14 cities of the Katowice Conurbation. Results of the study suggest that SO2 is the major air pollutant affecting the daily mortality profile in Katowice Conurbation. Sulphur dioxide effect is apparent in relation to both general and cardiovascular or respiratory mortality, particularly in the elderly. The effect of PM10 concentration is also statistically significant but only to the general mortality pattern.
The Baltic Sea is a semi-enclosed brackish sea with only limited water exchange with the North Sea and, thus, the North Atlantic. This salty water reservoir with water residence time of approximately 25 years is contaminated with many inorganic and organic pollutants: VOCl (Volatile Organohalogen Compounds), HC (Petroleum Hydrocarbons), OPNP (Organophosphorus and Organonitrogenous Pesticides), OCP (Organochlorine Pesticides), PAH (Polycyclic Aromatic Hydrocarbons) and heavy metals. Our paper presents monitoring results and sea environmental pollution assessment of the Southern Baltic coastal zone- the area of the Gdańsk Bay, based on the analysis of sea water samples. A set of various analytes were determined: PAH (16 analytes), VOCl (6 analytes), HC (9 analytes), OPNP (8 analytes), OCP (5 analytes), heavy metals (Zn, Cd, Pb, Cu). The results were subjected to full statistical evaluation. An assessment of sea environment contamination was made by characterization of pollution sources and the definition of intercorrelations between them. The characterization of major statistically important correlations between 45 variables was performed with the use of principal component analysis technique. From the performed PCA it arose that the factor configuration was similar for all sampling points and in all cases 5 factors explain over 60% of the data variance, and the statistically significant loading factors are higher than 0.7 (with p=0.05). Additionally, analysis of variance and time series analysis were applied to define important differences between chemical species’ concentration levels in time and in accordance with sampling points’ geographical location. As a result of time series analyses carried through with consideration to sampling points, there were no statistically important differences discovered in trends of changes from 1996 up to 1999 for any of examined groups of compounds.
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